Interactive learning environments can generate massive learning behavior data and the support of learning behavior big data can ensure the completeness of data analysis and robustness of relationship verification. In this study, learning behaviors are divided into training set and testing set, BP neural network and recurrent Elman network are…

The infusion and diffusion of the interactive whiteboard (IWB) has attracted considerable interest in educational contexts over the past years. However, research to date has been controversial with regard to the effectiveness of IWB-based instruction on cognitive learning outcomes. This study identified empirical publications that examine…

The flipped classroom has gained a great deal of attention in educational research and practice in recent years. The purposes of this study are to understand the relationship between students' online self-regulated learning (SRL) and their perceptions of learning in a flipped classrooms (FC), to identify possible mediators in this relationship,…

The purpose of this study is to classify the predictors of satisfaction and intention to use in Massive Open Online Courses (MOOC). Informed by a scientific literature review, this work poses a behavioral model to explain intention to use via various constructs. To this end, the authors have carried out a study through an online survey of Spanish…

We provided a virtual learning tool to undergraduate psychology students (n = 72) and investigated how different variables influence the learning outcome in terms of performance in an exam and satisfaction with the e-learning tool. These variables were: perceived usefulness, perceived ease of use, attitude towards computers, attitude towards the…